American Sign Language (ASL) to voice translation system using the blackfin microprocessor

• Main Authors: Co, Emil L., Poticano, Jane Bernadette M., Yao, Benny C.
• Format: text
• Language: English
• Published: Animo Repository 2010
• Subjects: American Sign Language > Translating
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/5884
• Institution: De La Salle University

This paper discusses an approach for capturing and translating American Sign Language into voice using the Blackfin Microprocessor. The instrumentation parts of the system consist of the flexion sensors along the fingers, the wrist and the elbow. Also, accelerometers are positioned in the forearm near the wrist, and in the arm near the elbow. Gestures of the American Sign Language are broken down into phonemes of poses and movements. The poses defined by the study are composed of at least 26 handshapes, 9 signing space and 5 core palm orientations. Training was accomplished by doing several sets of the different states of the pose. Recognition rates of modularized states of the different components of the pose proved that the system is capable of recognizing the different states relatively well.